EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation

no code implementations • 25 Mar 2024 • Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub

Deploying deep learning (DL) models in medical applications relies on predictive performance and other critical factors, such as conveying trustworthy predictive uncertainty.

Image Segmentation Medical Image Segmentation +2

Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training

1 code implementation • 22 Apr 2023 • Kudaibergen Abutalip, Numan Saeed, Mustaqeem Khan, Abdulmotaleb El Saddik

This distribution shift can negatively impact the performance of deep learning models on unseen samples, presenting a significant challenge for developing new computational pathology applications.

Semantic Segmentation whole slide images

Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?

no code implementations • 16 Jan 2022 • Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub

A couple of recent publications proposed a connection between the MGMT promoter state and the MRI scans of the tumor and hence suggested the use of deep learning models for this purpose.